We defined the relaxation of the 8-puzzle in which a tile can move from square A to square B if B is blank. The exact solution of this problem defines Gaschnigâ€™s heuristic (Gaschnig, 1979). Explain why Gaschnigâ€™s heuristic is at least as accurate as (misplaced tiles), and show cases where it is more accurate than both h1 and h2 (Manhattan distance). Can you suggest a way to calculate Gaschnigâ€™s heuristic efficiently?
Answer to relevant QuestionsGive the name of the algorithm those results from each of the following special cases:a. Local beam search with k = 1.b. Local beam search with one initial state and no limit on the number of states retained.c. Simulated ...In this exercise, we will examine hill climbing in the context of robot navigation, using the environment in Figure as an example.a. Repeat Exercise 3.16 using hill climbing. Does your agent ever get stuck in a local ...Solve the crypt arithmetic problem in Figure by hand, using backtracking, forward checking, and the MRV and least-constraining-valueheuristics.Prove the following assertion: for every game tree, the utility obtained by MAX using mini max decisions against a suboptimal MIN will be never be lower than the utility obtained playing against an optimal MIN. Can you come ...Discuss how well the standard approach to game playing would apply to games such as tennis, pool, and croquet, which take place in a continuous physical state space.
Post your question